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* DOC: add div_no_nan in math module of user_guideGravatar Yan Facai (颜发才)2018-08-23
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* compat: Update forward compatibility horizon to 2018-08-23Gravatar A. Unique TensorFlower2018-08-23
| | | | PiperOrigin-RevId: 209908710
* Remove memset() for SummaryEntry in weighted quantiles. This is a bug ↵Gravatar A. Unique TensorFlower2018-08-23
| | | | | | whenever one of the template arguments is not a POD, in particular for types such as string. A memset on a struct that contains a string invalidates the internals of that class (in particular the pointer that stores the characters of the string) and causes segfaults. This allows using weighted quantiles beyond int/float like template parameters. The upstream issue with memcopy of alignment bytes used for padding has been solved separately in the meantime. PiperOrigin-RevId: 209906298
* Add an example to demonstrate how to use Keras native APIs withGravatar Anjali Sridhar2018-08-23
| | | | | | DistributionStrategy. PiperOrigin-RevId: 209891724
* Add reduce_any to schema.Gravatar A. Unique TensorFlower2018-08-22
| | | | PiperOrigin-RevId: 209884688
* Support non-PerDevice value to be reduced in cross_tower_ops.Gravatar Yuefeng Zhou2018-08-22
| | | | | | This allows MirroredStrategy with one device and between-graph strategies with one tower on each worker. PiperOrigin-RevId: 209884569
* Implemented the configure method and properties needed by distribute ↵Gravatar Yuefeng Zhou2018-08-22
| | | | | | coordinator in CollectiveAllReduceStrategy. PiperOrigin-RevId: 209879722
* Add floor_div to schema.Gravatar A. Unique TensorFlower2018-08-22
| | | | PiperOrigin-RevId: 209875487
* Pass max_input_length to Recurrent() to avoid iterating on padded data.Gravatar A. Unique TensorFlower2018-08-22
| | | | PiperOrigin-RevId: 209873671
* Add an accuracy tool that can be used to evaluate model accuracy on device.Gravatar Shashi Shekhar2018-08-22
| | | | | | | | | | | | | - Adds an accuracy tool that can be used to develop evaluation pipelines to evaluate model accuracies. - The binary can be compiled for mobile platforms and the tool can be used to evaluate accuracy of models by running the binary on device. - Adds an example implementation for imagenet ILSVRC classification task accuracy evaluation. - More documentations and details coming soon. PiperOrigin-RevId: 209869774
* [XLA] Extract HloCollectiveInstruction as superclass of all collective ↵Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | instructions. This will make adding collective instructions slightly easier. PiperOrigin-RevId: 209864869
* Convert more kernel signatures to use runtime shapes.Gravatar A. Unique TensorFlower2018-08-22
| | | | PiperOrigin-RevId: 209864694
* [tf.data] Add highly experimental IndexedDatasets.Gravatar Brennan Saeta2018-08-22
| | | | PiperOrigin-RevId: 209864144
* Allow DT_INT64 indices for reduction ops.Gravatar Sanjoy Das2018-08-22
| | | | PiperOrigin-RevId: 209860270
* Change visibility of batch_space_ops to friends from private.Gravatar A. Unique TensorFlower2018-08-22
| | | | PiperOrigin-RevId: 209853753
* Turn off prefetching for `predict` calls since it is currently notGravatar Anjali Sridhar2018-08-22
| | | | | | deterministic. PiperOrigin-RevId: 209852547
* Merge pull request #19792 from benmyara:matmul-flop-correctionGravatar TensorFlower Gardener2018-08-22
|\ | | | | | | PiperOrigin-RevId: 209850481
* | Duplicate a //tensorflow/contrib/timeseries/examples:predict_test data depGravatar Allen Lavoie2018-08-22
| | | | | | | | | | | | Apparently it's not inherited from its py_binary dep for pip tests PiperOrigin-RevId: 209848894
* | Implemented the configure method and properties needed by distribute ↵Gravatar Yuefeng Zhou2018-08-22
| | | | | | | | | | | | coordinator in MirroredStrategy. PiperOrigin-RevId: 209848375
* | No reason not to support pickling/unpickling eager tensors/variables.Gravatar Alexandre Passos2018-08-22
| | | | | | | | PiperOrigin-RevId: 209847371
* | tf.enable_resource_variables / tf.disable_resource_variablesGravatar Alexandre Passos2018-08-22
| | | | | | | | PiperOrigin-RevId: 209847352
* | [tf.data] Add benchmarks for map_vectorizationGravatar Rachel Lim2018-08-22
| | | | | | | | PiperOrigin-RevId: 209845613
* | [tf.data] Fixes error in `dataset.concatenate()`, now throws error if two ↵Gravatar Shivani Agrawal2018-08-22
| | | | | | | | | | | | | | | | | | input datasets are of type dictionaries with different set of key(s). FIXES #20626 REL_NOTES: bug fix in `tf.data.Dataset.concatenate()`, now throws error if trying to concatenate two datasets of type dictionaries with different set of key(s). PiperOrigin-RevId: 209845337
* | [XLA] Use some of the utilities introduced in cr/209812568; NFCGravatar Sanjoy Das2018-08-22
| | | | | | | | PiperOrigin-RevId: 209845109
* | Update ops-related pbtxt files.Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | PiperOrigin-RevId: 209842403
* | [data-stats] Supports stats aggregation for ParseExampleDataset.Gravatar Shivani Agrawal2018-08-22
| | | | | | | | PiperOrigin-RevId: 209840812
* | Added ability to forward sparse tensors in `forward_feature`.Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | PiperOrigin-RevId: 209839159
* | Move from deprecated self.test_session() to self.cached_session().Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | | | | | | | | | self.test_session() has been deprecated in 9962eb5e84b15e309410071b06c2ed2d6148ed44 as its name confuses readers of the test. Moving to cached_session() instead which is more explicit about: * the fact that the session may be reused. * the session is not closed even when doing a "with self.test_session()" statement. PiperOrigin-RevId: 209839057
* | Move from deprecated self.test_session() to self.cached_session().Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | | | | | | | | | self.test_session() has been deprecated in 9962eb5e84b15e309410071b06c2ed2d6148ed44 as its name confuses readers of the test. Moving to cached_session() instead which is more explicit about: * the fact that the session may be reused. * the session is not closed even when doing a "with self.test_session()" statement. PiperOrigin-RevId: 209839048
* | Move from deprecated self.test_session() to self.cached_session().Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | | | | | | | | | self.test_session() has been deprecated in 9962eb5e84b15e309410071b06c2ed2d6148ed44 as its name confuses readers of the test. Moving to cached_session() instead which is more explicit about: * the fact that the session may be reused. * the session is not closed even when doing a "with self.test_session()" statement. PiperOrigin-RevId: 209839032
* | Move from deprecated self.test_session() to self.cached_session().Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | | | | | | | | | self.test_session() has been deprecated in 9962eb5e84b15e309410071b06c2ed2d6148ed44 as its name confuses readers of the test. Moving to cached_session() instead which is more explicit about: * the fact that the session may be reused. * the session is not closed even when doing a "with self.test_session()" statement. PiperOrigin-RevId: 209839030
* | [tf.data] Fix MultiDeviceIterator initialization to use correct FLR.Gravatar Derek Murray2018-08-22
| | | | | | | | | | | | | | | | | | In the recent change to instantiate functions at iterator initialization time, I forgot to make the corresponding change was to MultiDeviceIterator. This change fixes that problem and unbreaks MultiDeviceIterator. PiperOrigin-RevId: 209838406
* | Switch to using variable._in_graph_mode instead of ↵Gravatar Pavithra Vijay2018-08-22
| | | | | | | | | | | | | | | | context.executing_eagerly() in optimizer.variables() Remove global collection usage from the Keras model to estimator flow. PiperOrigin-RevId: 209837803
* | Move from deprecated self.test_session() to self.cached_session().Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | | | | | | | | | self.test_session() has been deprecated in 9962eb5e84b15e309410071b06c2ed2d6148ed44 as its name confuses readers of the test. Moving to cached_session() instead which is more explicit about: * the fact that the session may be reused. * the session is not closed even when doing a "with self.test_session()" statement. PiperOrigin-RevId: 209837298
* | Move from deprecated self.test_session() to self.cached_session().Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | | | | | | | | | self.test_session() has been deprecated in 9962eb5e84b15e309410071b06c2ed2d6148ed44 as its name confuses readers of the test. Moving to cached_session() instead which is more explicit about: * the fact that the session may be reused. * the session is not closed even when doing a "with self.test_session()" statement. PiperOrigin-RevId: 209836477
* | [tf.data] Implements `dataset` transformation `parse_example_dataset(..)` ↵Gravatar Shivani Agrawal2018-08-22
| | | | | | | | | | | | which will replace dataset.map(parsing_ops.parse_example(..)). PiperOrigin-RevId: 209836033
* | Disable random_forest_test in asan.Gravatar Gunhan Gulsoy2018-08-22
| | | | | | | | PiperOrigin-RevId: 209835865
* | Convert TensorFlow's flatbuffers dependency to new third party import methodGravatar Austin Anderson2018-08-22
| | | | | | | | PiperOrigin-RevId: 209833197
* | Fix the interaction between the split handler ops and the grow tree ensemble ↵Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | | | | | ops when we have nodes with no examples. PiperOrigin-RevId: 209830550
* | Preallocate the node structure std::vectorGravatar Andrew Selle2018-08-22
| | | | | | | | PiperOrigin-RevId: 209830234
* | Use tf.shape to get `max_time` inside _ApplyLengthsToBatch in case the ↵Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | | | | | tensor is dynamic shaped. PiperOrigin-RevId: 209829459
* | Internal change.Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | PiperOrigin-RevId: 209828735
* | name and read_value arguments to tf.Variable.assign*Gravatar Alexandre Passos2018-08-22
| | | | | | | | PiperOrigin-RevId: 209828610
* | Create an UnsupervisedInputReceiver for unsupervised problems.Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | PiperOrigin-RevId: 209828317
* | Add the device (stack) to tfe.defun's cache key, and copy the device stackGravatar Akshay Agrawal2018-08-22
| | | | | | | | | | | | | | | | | | | | | | | | | | to FuncGraph. This change makes tfe.defun() responsible for respecting call-site device annotations, not PartitionedCallOp --- the latter doesn't have access to the original requested device, and it was overly-aggressive in stamping its assigned device onto unassigned function nodes. It's not obvious how we could make PartitionedCallOp faithfully respect call-site device annotations, since directives like tf.device(None) are lost by the time control reaches PartitionedCallOp. As such, this change GraphModeFunction.__call__() raise an error if it's called under a device context / stack that's different than the one that was active when the python function was traced. PiperOrigin-RevId: 209827111
* | Making the side effect of result() function of tfe.Metrics.Mean optional.Gravatar A. Unique TensorFlower2018-08-22
| | | | | | | | PiperOrigin-RevId: 209824328
* | Add copy and deepcopy functionality for resource_variable_ops.ResourceVariable.Gravatar Zafarali Ahmed2018-08-22
| | | | | | | | PiperOrigin-RevId: 209823375
* | Add assert_existing_objects_matched to object-based checkpoint restoresGravatar Allen Lavoie2018-08-22
| | | | | | | | | | | | Useful when loading only part of a larger checkpoint, to assert that the Variable objects which do exist in the current program are being restored. PiperOrigin-RevId: 209823112
* | [XLA] Define integer division overflow for CPU/GPUGravatar Sanjoy Das2018-08-22
| | | | | | | | | | | | | | | | | | | | | | This implements the semantics suggested in cr/209704042 for CPU and GPU: X / 0 == -1 X % 0 == X INT_SMIN / -1 = INT_SMIN INT_SMIN % -1 = 0 PiperOrigin-RevId: 209821097
* | Merge pull request #21770 from skavulya:rename-ecosystem-jarsGravatar TensorFlower Gardener2018-08-22
|\ \ | | | | | | | | | PiperOrigin-RevId: 209820178
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